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Cryogenic $\text{In}_{0.8} \text{Ga}_{0.2} \text{As}$ Quantum-Well High-Electron Mobility Transistors from Lowpower Quantum Computing to Tera-Hz Applications

2025· article· en· W4412962806 on OpenAlexaff
Seungwoo Son, M.-S. Yu, S.-P. Son, I.-G. Lee, W.-S. Park, Jeeyoung Yoo, SK. Kim, Jung-Hoon Yun, Taemin Kim, Jan Grahn, Arsalan Pourkabirian, Peter Sobis, Hyuk-Min Kwon, Tae‐Won Kim, J.‐H. Lee, Kyounghoon Yang, Dae‐Hyun Kim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsTera-Quantum computerTransistorOptoelectronicsQuantumComputer scienceElectronPhysicsCondensed matter physicsMaterials scienceQuantum mechanics

Abstract

fetched live from OpenAlex

We present cryogenic <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{In}_{0.8} \text{Ga}_{0.2} \text{As}$</tex> QW HEMTs with a gate length <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(L_{g}\right)$</tex> of 35 nm, achieving a record combination of low-power and high-frequency performance. A meticulous modeling of source resistance <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(R_{s}\right)$</tex> incorporating ballistic channel resistance (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left.R_{\text {ball }}\right)$</tex> - provides key insights for advancing low-power quantum computing and terahertz (THz) applications. At 4 K, the fabricated device exhibits exceptional performance metrics, including a minimum subthreshold-swing <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(S_{\min }\right)$</tex> of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$4.41 \text{mV} / \text{dec}$</tex>., a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$g_{m_{-} \max }$</tex> of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.49 \text{mS} / \mu \mathrm{m}$</tex>, and the highest record <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$f_{T}$</tex> of 813 GHz, with an average gain-bandwidth product (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$f_{\text {avg }}$</tex>) of 810 GHz. These results stem from a tightly controlled gate-recess process, minimizing the side length (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{\text {side }}$</tex>) to below 20 nm. Delay-time analysis indicates further THz performance can be achieved by scaled <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{g}$</tex> below 20 nm and reducing fringing gate capacitance (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$C_{\mathrm{g}\_\text{fringe }}$</tex>) by 20 %. This work demonstrates the potential of cryogenic <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{In}_{0.8} \text{Ga}_{0.2}$</tex> As QW HEMTs to revolutionize quantum computing and THz electronics

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.263
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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